A parking detection method, a system, a processing device and a storage medium are provided. The parking detection method includes: acquiring an image to be detected; acquiring a projection area of a vehicle on the ground according to vanishing points and a vanishing line in the image to be detected in combination with outline key points of the vehicle in the image to be detected; judging whether the vehicle is parked regularly.
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4. A processing device, comprising: a memory, a processor and a computer program stored on the memory and executable by the processor, wherein steps of the method according to claim 2 are implemented when the processor executes the program.
This invention relates to a processing device designed to optimize data processing tasks, particularly in systems where efficiency and resource management are critical. The device addresses the problem of inefficient data handling in computing systems, which can lead to wasted computational resources, slower processing times, and increased energy consumption. The solution involves a specialized processing device that includes a memory, a processor, and a computer program stored in the memory. The computer program, when executed by the processor, performs a method for processing data in a more efficient manner. The method involves receiving input data, analyzing the data to determine an optimal processing path, and then executing the processing steps along this path. The analysis step may include evaluating the data structure, identifying dependencies, and assessing computational requirements to minimize redundant operations. The processing path is dynamically adjusted based on real-time feedback, ensuring adaptability to varying workloads. The device may also include additional components, such as a data buffer for temporary storage and a control unit to manage the execution flow. The overall system is designed to reduce processing time, lower energy consumption, and improve resource utilization in data-intensive applications.
14. A processing device, comprising: a memory, a processor and a computer program stored on the memory and executable by the processor, wherein steps of the method according to claim 1 are implemented when the processor executes the program.
This invention relates to a processing device designed to enhance computational efficiency and performance in data processing tasks. The device includes a memory, a processor, and a computer program stored on the memory that, when executed by the processor, performs a method to optimize data processing operations. The method involves analyzing input data to identify patterns or structures that can be processed more efficiently, such as through parallelization, caching, or algorithmic optimization. The processor then applies these optimizations to execute the data processing tasks with reduced computational overhead and improved speed. The device may also include additional components, such as input/output interfaces or specialized hardware accelerators, to further enhance performance. The computer program may be configured to adapt its optimization strategies based on the type of data or processing requirements, ensuring flexibility across different applications. This invention addresses the need for more efficient data processing in computing systems, particularly in scenarios where large datasets or complex computations are involved. By dynamically optimizing processing steps, the device reduces latency and resource consumption, making it suitable for high-performance computing, real-time data analysis, and other demanding computational tasks.
15. A parking detection system, comprising: an image acquisition device and the processing device according to claim 14.
A parking detection system monitors parking spaces to determine occupancy status. The system includes an image acquisition device, such as a camera, that captures visual data of parking areas. A processing device analyzes the captured images to detect and classify parking spaces, distinguishing between occupied and vacant spaces. The processing device may use computer vision techniques, such as object detection or segmentation, to identify vehicles within parking spaces. The system may also incorporate additional sensors, such as ultrasonic or infrared sensors, to enhance detection accuracy in low-visibility conditions. The processing device further includes a communication interface to transmit occupancy data to external systems, such as parking management software or mobile applications, enabling real-time updates for users. The system may also include a user interface for displaying parking availability and guiding drivers to vacant spaces. The processing device may employ machine learning algorithms to improve detection accuracy over time by learning from historical data. The system is designed for use in both indoor and outdoor parking environments, providing automated and efficient monitoring of parking space utilization.
16. A non-transitory computer readable storage medium storing computer executable instructions for performing the method according to claim 1.
The invention relates to a computer-implemented method for optimizing data processing in a distributed computing environment. The problem addressed is the inefficiency in resource allocation and task scheduling across multiple computing nodes, leading to suboptimal performance and increased latency. The solution involves a system that dynamically adjusts resource allocation and task distribution based on real-time performance metrics, such as processing speed, memory usage, and network bandwidth. The method includes monitoring the performance of each computing node, identifying bottlenecks, and redistributing tasks to balance the workload. Additionally, the system predicts future resource demands using historical data and machine learning algorithms to preemptively allocate resources, further improving efficiency. The invention also includes a feedback mechanism that continuously refines the allocation strategy based on the outcomes of previous adjustments. The computer-readable storage medium stores executable instructions for implementing this method, ensuring that the system can be deployed across various distributed computing environments. This approach enhances overall system performance by minimizing idle resources and reducing task completion times.
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April 30, 2020
May 21, 2024
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